Amazon Redshift vs Netezza Analytics comparison

The compared Amazon Web Services (AWS) and IBM solutions aren't in the same category. Amazon Web Services (AWS) is ranked #6 in CDW , with an average rating of 7.8, and holds a 7.5% mindshare in the category. IBM is ranked #8 in H , and holds a 1.3% mindshare. Additionally, 86% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 76% of IBM users who would recommend it.

Amazon Redshift

Read 71 Amazon Redshift reviews

3,804 Views
2,815 Comparison Views

86% willing to recommend

Netezza Analytics

Read 11 Netezza Analytics reviews

207 Views
176 Comparison Views

76% willing to recommend

Amazon Redshift

Netezza Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon Redshift and Netezza Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: June 2025).

Buyer's Guide

Cloud Data Warehouse

June 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Redshift

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (6th)

Netezza Analytics

Average Rating

7.4

Number of Reviews

Ranking in other categories

Hadoop (8th)

Mindshare comparison

Amazon Redshift and Netezza Analytics aren’t in the same category and serve different purposes. Amazon Redshift is designed for Cloud Data Warehouse and holds a mindshare of 7.5%, down 8.0% compared to last year.
Netezza Analytics, on the other hand, focuses on Hadoop, holds 1.3% mindshare, down 1.3% since last year.

Cloud Data Warehouse

Hadoop

Featured Reviews

Sriram-Natesan

Tech Lead at Impetus

The ability to create a lot of views or materialized views is beneficial

Improvement in the immediate response and the process of getting into a call could be helpful. We have had to wait for at least twenty-four hours to get a call and then wait for a couple more hours for a solution. Improved connectivity to different BI tools and already published connectors for major tools in AWS could enhance the service.

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Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

A robust solution with good support, but a better GUI for database management is needed

The biggest lesson that I have learned from using this solution is that a lot of evaluation should be done before starting. Also, we needed to put a lot of effort into understanding the different functions that the product offers. This allows you to best leverage the capability of the product. I would rate this solution a seven out of ten.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The product is relatively easy to use because there is no indexing and no partitions."

"I would rate Amazon Redshift a ten on a scale of one to ten."

"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."

"Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down."

"Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there."

"I am satisfied with the performance of the product."

"Amazon Redshift is a really powerful database system for reporting and data warehousing."

"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."

More Amazon Redshift pros

"Speed contributes to large capacity."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

"The most valuable feature is the performance."

"The need for administration involvement is quite limited on the solution."

"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."

"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."

"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."

Cons

"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."

"The explain panel in the Redshift database could be better."

"Running parallel queries results in poor performance and this needs to be improved."

"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."

"We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."

"It is difficult to work with unstructured data and JSON documents."

"Amazon Redshift does not have the capability to dynamically increase the VM file."

"It takes a lot of time to ingest and update the data."

More Amazon Redshift cons

"The Analytics feature should be simplified."

"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."

"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

"Administration of this product is too tough. It's very complex because of the tools which it's missing."

"The hardware has a risk of failure. They need to improve this."

"The most valuable features of this solution are robustness and support."

"The solution could implement more reporting tools and networking utilities."

More Netezza Analytics cons

Pricing and Cost Advice

"This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."

"The solution has very competitive pricing."

"Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"It is an expensive product."

"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."

"My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD."

"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."

More Amazon Redshift pricing and cost advice

"Expensive to maintain compared to other solutions."

"The annual licensing fees are twenty-two percent of the product cost."

"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."

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Top Industries

By visitors reading reviews

Educational Organization

20%

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

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What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

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What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

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Comparisons

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Compared 17% of the time

AWS Lake Formation vs Amazon Redshift

Compared 12% of the time

Snowflake vs Amazon Redshift

Compared 11% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 8% of the time

Oracle Exadata vs Amazon Redshift

Compared 7% of the time

More Amazon Redshift Competitors

No data available

Product Reports

Buyer's Guide

Amazon Redshift

July 2025

Download Amazon Redshift product report

Buyer's Guide

Netezza Analytics

June 2025

Download Netezza Analytics product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

IBM Netezza Analytics is an embedded, purpose-built, advanced analytics platform that empowers analytic enterprises to meet and exceed their business demands. As features, it can predict with more accuracy, deliver predictions faster and respond rapidly to changes.

IBM

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

A leading online advertising network

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: June 2025.

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